Instructions to use Muapi/sxz-texture-bringer-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/sxz-texture-bringer-concept with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/sxz-texture-bringer-concept") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 003a648c64a52fae51be124c876ae5bfa405e1ff4e5001b7077afc500d3e7d1a
- Size of remote file:
- 1.3 MB
- SHA256:
- f78e5d91a16ff3d729189a6e0581bb4da41faf504e974497e0da37c0a6bbd073
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.